July 2019
Intermediate to advanced
512 pages
19h 39m
English
Content preview from Hands-On Deep Learning Algorithms with Python
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Gradients with respect to hidden to hidden layer weights, W
Now, we will compute the gradients of loss with respect to hidden to hidden layer weights, 
. Similar to 
, the final gradient is the sum of the gradients at all time steps:
So, we can write:
First, let's compute gradient of loss, with respect to , that is, .
We cannot compute derivative ...
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